Soil information in Kurdistan region, Dohuk governorate (Iraq)
-
1.
University of Tübingen
-
2.
Ludwig-Maximilians-Universität München
-
3.
University of Palermo
- 4. Ardakan University
- 5. Dohuk Antiquities
Description
This data set consists of eight parts containing the maps, scripts, different parts containing the maps, scripts, raw data and predictions of soil information collected between 2017 and 2023 in the Dohuk governorate of the Kurdistan region of Iraq. This is the supplementary deposit to the paper Soil information in Kurdistan region, Dohuk governorate (Iraq).
A graph describes the entire workflow, and a .csv file contains a list of all the data produced. An additional list with all covariates used is also presented in a .csv file.
Additional visualisation of the final maps computed here can be found at https://mathias-bellat.shinyapps.io/Northern-Kurdistan-map/
Files
| Name | Size | Actions |
|---|---|---|
|
md5:fb8f664755be4b4ed19cd70609fb9961
|
8.6 KiB | Download |
|
md5:2837d516779e915f82a8d4b8f6517998
|
59.9 MiB | Preview Download |
|
md5:e5adaa38862cb6fe71b563e51e993c1a
|
1.1 MiB | Preview Download |
|
md5:764cf1f2acda652e725f88dffc72293f
|
279.3 KiB | Preview Download |
|
md5:9d05e79c787aa47e63610fa306232178
|
2.1 GiB | Preview Download |
|
md5:aa184f9eba199373ab0f412e5a5c9140
|
155.7 MiB | Preview Download |
|
md5:19e3b894eb9b34dd8757a05ff9963762
|
1.0 MiB | Preview Download |
|
md5:1c4799791db840bbc6daac5b09199328
|
190.9 MiB | Preview Download |
|
md5:8df520b1c90a05ccb6b967493879c09e
|
9.4 MiB | Preview Download |
|
md5:dd70a6dc47b4c61bb119de767d716e3a
|
6.9 KiB | Preview Download |
|
md5:6133064f7bba0d9a62f18ebe42b4cd60
|
15.6 KiB | Preview Download |
|
md5:6f5ed6c72a2fdf65005b8f4bae6ba7a8
|
61.9 MiB | Download |
Additional details
- Created
-
2024-12-11First deposit
- Accuracy
The accuracy depends on the dataset. For the collected samples, the location accuracy is about 5 m (GPS accuracy). For the different models, the accuracy is explicitly given in tables.
- Completeness
Every final attribute has a given value, and its accuracy is shown in the data table.
- Conformity
The data are given as much as possible in a standardised format as expressed by the scientific community or by archiving standards (.csv, .pdf, .svg).
- Consistency
All the workflow is comprehensive and explained in the supplementary file attached in this deposit.
- Credibility
The data are entirely reproducible, so the credibility of the data meets every user's interpretation. However, has model accuracy is not 100% the prediction can be regarded has believable as much as their metrics allows it.
- Processability
The data excepted their field interpretation is fully reproducible and therefore meets machine interpretable standards.
- Relevance
The data are especially applicable for agricultural or environmental purpose in semi-arid context. It could also be used by Iraqi local policy makers.
- Timeliness
No applicable in our case.
- Understandability
The data are fully understandable, for the reader has a related supplementary workflow document linked to it.
- Character set
- utf-8
- Data File format
- csv, pdf (pdf/a), png, zip, jpeg
- Data source type
- geographic area, research data, workflow(s), processes
- Data type
- integer, string, decimal, boolean, byte
- Date type
- date
- General data format
- geospatial
- Lifecycle event type
- data collection reports
- Mode of collection
- field observation, laboratory experiment, computer-based observation, field/intervention experiment, content coding
- Numeric type
- integer, decimal, long
- Sampling procedure
- stratified random cluster
- Software package
- r
- Time zone
- utc+03:00
- Type of frequency
- every year
- Type of instrument
- programming script, technical instrument(s)
- Application category
- data analytics and processing software
- Code repository
- https://github.com/mathias-bellat/DSM-Kurdistan.git
- Copyright holder
- GPL-3.0 license
- Copyright year
- 2024
- Development status
- work in progress
- Is accessible for free
- Yes
- Maintainer
- ['0000-0003-0319-1562']
- Operating system
- windows platform
- Programming language
- r, python, javascript
- Computer sciences
- programming, statistical, sampling, model
- Digital Humanities
- linked open data
- Earth sciences
- geography, soil, environmental, glacis, pediment, calcareous, clay, carbonate, sand, silt, ph, nitrogen, sulfur, electricity, organic
- Geographic place types
- agricultural land, mountains, alluvial fan, riverbank, hills
- History of Science & Technology
- geography, rural environment
- Multidisciplinary sciences
- agriculture